Nanograin Effects on the Thermoelectric Properties of Poly-Si Nanowires

In this work we perform a theoretical analysis of the thermoelectric performance of polycrystalline Si nanowires (NWs) by considering both electron and phonon transport. The simulations are calibrated with experimental data from monocrystalline and polycrystalline structures. We show that heavily doped polycrystalline NW structures with grain size below 100 nm might offer an alternative approach to achieve simultaneous thermal conductivity reduction and power factor improvements through improvements in the Seebeck coefficient. We find that deviations from the homogeneity of the channel and/or reduction in the diameter may provide strong reduction in the thermal conductivity. Interestingly, our calculations show that the Seebeck coefficient and consequently the power factor can be improved significantly once the polycrystalline geometry is properly optimized, while avoiding strong reduction in the electrical conductivity. In such a way, ZT values even higher than the ones reported for monocrystalline Si NWs can be achieved.     

Parameterized Scheduling of Topological Patterns in Signal Processing Dataflow Graphs

In recent work, a graphical modeling construct called “topological patterns” has been shown to enable concise representation and direct analysis of repetitive dataflow graph sub-structures in the context of design methods and tools for digital signal processing systems (Sane et al. 2010). In this paper, we present a formal design method for specifying topological patterns and deriving parameterized schedules from such patterns based on a novel schedule model called the scalable schedule tree. The approach represents an important class of parameterized schedule structures in a form that is intuitive for representation and efficient for code generation. Through application case studies involving image processing and wireless communications, we demonstrate our methods for topological pattern representation, scalable schedule tree derivation, and associated dataflow graph code generation.     

Bulk Undoped GaAs–AlGaAs Substrate-Removed Electrooptic Modulators With 3.7-V-cm Drive Voltage at 1.55 $mu$ m

Substrate removed bulk GaAs-AlGaAs electrooptic modulators with 3.7-V-cm drive voltage at 1.55 mum were realized. The 1.94-mum-thick undoped GaAs-AlGaAs epilayer removed from its substrate behaves as an electrooptic dielectric layer and has electrodes placed directly on both sides. This allows a very strong modulating electric field overlapping very well with the optical mode. The propagation loss in the presence of electrodes is less than 2.9dB/cm. There is very good agreement between the measured and simulated values     

Third-Order Dispersion and Ultrafast-Pulse Propagation in Silicon Wire Waveguides

The dynamics of femtosecond (fs) pulse propagation in dispersion engineered silicon-on-insulator (SOI) photonic wires is investigated numerically. For fs pulses propagating in millimeter-long SOI waveguides, the interplay between nonlinear effects, group velocity dispersion (GVD), and the third-order dispersion (TOD) results in significant pulse reshaping. At the zero-GVD (ZGVD) wavelength, TOD causes strong pulse-shape asymmetry in both the temporal and spectral domains. In addition, in the anomalous GVD region near the ZGVD wavelength, soliton-like pulse dynamics is observed     

H2对UHV/CVD低温选择性外延生长Si1-xGex的影响

利用超高真空化学气相沉积(UHV/CVD)成功实现了Si1-xGex的低温选择性外延生长,并研究了H2对选择性外延生长的影响及其作用机理.以SiH4和GeH4为反应气源,在开有6mm×6mm窗口氧化硅片上进行Si1-xGex外延层的生长.首先分别以不含H2(纯GeH4)和含H2(90%H2稀释的GeH4)的两种Ge源进行选择性外延生长.通过SEM观察两种情况下氧化硅片表面,发现H2的存在对选择性外延生长有至关重要的作用.接着以90%H2稀释的GeH4为Ge源,变化Si源和Ge源的流量比改变H2分压,以获得SiH4和GeH4(90%H2)的最佳流量比,使外延生长的选择性达到最好.利用SEM观察在不同流量比时,经40min外延生长后各样品的表面形貌,并对其进行比较,分析了H2分压在Si1-xGex选择性外延生长中的作用机理.     

微机电系统扭转微镜面驱动器的研制

提出了一种新颖的采用键合减薄工艺制作的微机电系统扭转微镜面驱动器,该种微镜面驱动器工艺制作简便可行.通过对研制的微镜面驱动器进行测试,该驱动器在18V驱动电压时可以达到0.3°的扭转角度,微镜面的频率响应时间小于1ms.同时该驱动器具有较大的微反射镜面,面积达到600μm×700μm,试验结果表明微镜面驱动器将可以应用于光通信领域.     

一种基于多因子算法的评价指标优化方法

从指标的关联性、重要性和有效性出发,利用灰色关联分析,提出了基于多因子算法的评价指标优化方法。该算法同时考虑多种因素对评价指标的影响,不仅保留了指标体系中的重要指标,也使各指标间相互独立,从而使得指标体系既全面又不冗余。在此基础上,通过有效性检验对指标体系进一步分析,确保了优化结果的科学性,给大型复杂系统评价指标的优化提供了新思路。     

通信机房采用室外集装箱发电机组的分析

介绍了室外集装箱发电机组的市场应用状况,以及采用室外集装箱发电机组需要注意的问题,对室外集装箱发电机组与室内发电机组的技术性和经济性进行了对比分析,最后提出了通信局房采用室外集装箱发电机组的建议。     

南海海边整层大气相干长度的测量与分析

大气相干长度是描述光波大气传输中湍流效应的重要参量,具有区域变化特性。海边大气相干长度的测量结果很少有报道,利用差分像运动法大气相干长度仪观测了茂名博贺海边的整层大气相干长度,获得了海边大气相干长度的全天数据。数据分析表明,海边整层大气相干长度日变化明显,夜晚起伏无规则,上半夜平均天文视宁度好于下半夜,白天最差;与陆地数据比较得知,海边整层大气相干长度日变化不如陆地上的剧烈,海边日变化成近"V"型,陆地上的为近"U"型;通过分析比较,提出了一些启发性的见解。     

面向移动云计算的自适应服务选择方法研究

Despite the rapid advances in mobile tech-nology, many constraints still prevent mobile de-vices from running resource-demanding applica-tions in mobile environments. Cloud computing with flexibility, stability and scalability enables ac-cess to unlimited resources for mobile devices, so more studies have focused on cloud computing- based mobile services. Due to the stability of wire-less networks, changes of Quality of Service (QoS) level and user' real-time preferences, it is becoming challenging to determine how to adaptively choose the “appropriate”service in mobile cloud compu-ting environments. In this paper, we present an a-daptive service selection method. This method first extracts user preferences from a service's evaluation and calculates the similarity of the service with the weighted Euclidean distance. Then, they are com-bined with user context data and the most suitable service is recommended to the user. In addition, we apply the fuzzy cognitive maps-based model to the adaptive policy, which improves the efficiency and performance of the algorithm. Finally, the experi-ment and simulation demonstrate that our approach is effective.